Job Description
Job Description
Design, build, and deploy machine learning (ML) models to derive actionable insights and solve complex problems.
Work in the full lifecycle of ML model development from data preparation and feature engineering to model training, evaluation, and deployment.
Apply a variety of ML algorithms, techniques, and frameworks to solve complex business challenges.
Assemble modules into end-to-end systems, ensuring seamless integration and functionality.
Collaborate closely with Data Scientists to facilitate highly productive experimentation, model construction, and validation, fostering a sense of teamwork and shared success.
Apply programming skills in Python with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
Contribute to the continuous improvement of ML systems by staying abreast of advancements in software engineering and ML.
May telecommute but must reside near Miramar, Florida headquarters or Dallas, Texas office.
Requires up to 10% domestic travel.
Education and Experience Requirements
Masters degree (or foreign equivalent) in computer science or related field; plus 5 years of experience in job offered or software development operations and data engineering.
Bachelors degree plus 7 years of experience also acceptable.
Knowledge of programming languages (Python, R, or SQL), Terraform, Kubernetes, Unix, CI/CD tools, and AWS or Azure cloud ecosystems.
Experience with cloud operations, DevSecOps, and deploying ML models into production environments.
Travel Requirements
Requires up to 10% domestic travel.
Telecommuting/Remote Work is Permitted
May telecommute but must reside near Miramar, Florida headquarters or Dallas, Texas office.
Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line.
Thank you.